An alternative method of concept learning

Sen Wang, Qingxiang Fang, Jun-e Feng

Abstract


We solve the problem of concept learning using a semi-tensor product method. All possible hypotheses are expressed under the framework of a semi-tensor product. An algorithm is raised to derive the version space. In some cases, the new approach improves the efficiency compared to the previous approach.


doi:10.1017/S1446181116000316

Keywords


concept learning, version space, semi-tensor product, target concept, all possible hypotheses



DOI: http://dx.doi.org/10.21914/anziamj.v58i0.10983



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ANZIAM Journal, ISSN 1446-8735, copyright Australian Mathematical Society.